Mukhopadhyay S K, Mitra S, Mitra M
Department of Applied Physics, Faculty of Technology, University of Calcutta , 92 A.P.C. Road, Kolkata , India and.
J Med Eng Technol. 2015 Feb;39(2):105-22. doi: 10.3109/03091902.2014.990159. Epub 2014 Dec 23.
This paper presents a software-based scheme for reliable and robust Electrocardiogram (ECG) data compression and its efficient transmission using Second Generation (2G) Global System for Mobile Communication (GSM) based Short Message Service (SMS). To achieve a firm lossless compression in high standard deviating QRS complex regions and an acceptable lossy compression in the rest of the signal, two different algorithms have been used. The combined compression module is such that it outputs only American Standard Code for Information Interchange (ASCII) characters and, hence, SMS service is found to be most suitable for transmitting the compressed signal. At the receiving end, the ECG signal is reconstructed using just the reverse algorithm. The module has been tested to all the 12 leads of different types of ECG signals (healthy and abnormal) collected from the PTB Diagnostic ECG Database. The compression algorithm achieves an average compression ratio of ∼22.51, without any major alteration of clinical morphology.
本文提出了一种基于软件的可靠且稳健的心电图(ECG)数据压缩方案,以及使用基于第二代(2G)全球移动通信系统(GSM)的短消息服务(SMS)进行高效传输的方法。为了在高标准偏差的QRS复合波区域实现严格的无损压缩,并在信号的其余部分实现可接受的有损压缩,使用了两种不同的算法。组合压缩模块输出的仅是美国信息交换标准代码(ASCII)字符,因此,发现SMS服务最适合传输压缩信号。在接收端,仅使用反向算法重建ECG信号。该模块已针对从PTB诊断ECG数据库收集的不同类型(正常和异常)ECG信号的所有12导联进行了测试。该压缩算法实现了约22.51的平均压缩率,且未对临床形态产生任何重大改变。